Effect of Pressure on Soot Formation and Properties in Laminar RP-3 Kerosene Diffusion Flames

Obtaining quantitative experimental data on soot properties of aviation kerosene at elevated pressures is a significant concern for the surrogate fuel kinetic model of aviation kerosene. However, there are scarce studies on soot formation and properties of aviation kerosene in tractable flames at elevated pressures in literature. In this study, Chinese RP-3 aviation kerosene is used in relevant experiments and numerical simulations up to 3.5 atm to evaluate the effect of pressure on soot formation and properties. Soot morphology, nanostructure, and concentration are studied by transmission electron microscopy and laser extinction method. Then, an RP-3/PAH kinetic model containing the 5-aromatic rings (A5) growth mechanism is proposed to simulate the soot formation processes at elevated pressures. Quantitative experimental results show that pressure significantly affects the soot morphology, nanostructure parameters. The peak soot volume fractions in the RP-3 flame scale with the pressure as P1.62. The numerical results show that the RP-3/PAH model can depict the trends of soot particle size and soot volume fraction with pressure. At 1.0–3.5 atm, the rates of soot growth processes increase with pressure, especially the PAHs condensation. The significantly increased soot surface growth rate may be one of the main factors for the variation of soot properties with pressure. The quantitative experimental and numerical results contribute to the understanding of the kinetic mechanism of soot formation for RP-3 kerosene at elevated pressures.</p

Seasonal pattern of four categories of all sites.

<p>Seasonal pattern of four categories of all sites.</p

final_video_1123.mp4

This video shows the depth reconstruction of a dynamic scene

Classification of independent variables included in regression models.

<p>Classification of independent variables included in regression models.</p

Classification and distribution of air quality monitoring sites in Beijing.

<p>Classification and distribution of air quality monitoring sites in Beijing.</p

Additional file 1 of Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation

Additional file 1. Generated noisy label maps

Landscape metrics that had relationship with PM_2.5 concentration (|<i>r</i>|>0.6).

<p>Landscape metrics that had relationship with PM_2.5 concentration (|<i>r</i>|>0.6).</p

List of the selected landscape metrics.

<p>Sources: Fragstats documents 4.2 (2014).</p><p>List of the selected landscape metrics.</p

Classification and description of independent variables.

<p>* xx corresponds to the circular buffer radii (in meters).</p><p>Classification and description of independent variables.</p

DataSheet_1_A novel enterocyte-related 4-gene signature for predicting prognosis in colon adenocarcinoma.docx

BackgroundColon adenocarcinoma (COAD) is a fatal disease, and its cases are constantly increasing worldwide. Further, the therapeutic and management strategies for patients with COAD are still unsatisfactory due to the lack of accurate patient classification and prognostic models. Therefore, our study aims to identify prognostic markers in patients with COAD and construct a cell subtype-specific prognostic model with high accuracy and robustness.MethodsSingle-cell transcriptomic data of six samples were retrieved from the Gene expression omnibus (GEO) database. The cluster annotation and cell-cell communication analysis identified enterocytes as a key player mediating signal communication networks. A four-gene signature prognostic model was constructed based on the enterocyte-related differentially expressed genes (ERDEGs) in patients with COAD of the Cancer Genome Atlas cohort. The prognostic model was validated on three external validation cohorts from the GEO database. The correlation between immune cell infiltration, immunotherapy response, drug sensitivity, and the four-gene signature prognostic model was investigated. Finally, immunohistochemistry (IHC) was performed to determine the expression of the four genes.ResultsWe found that the proportion of epithelial cells was obviously large in COAD samples. Further analysis of epithelial cells showed that the activity of the enterocytes was highest in the cell-cell communication network. Based on enterocyte data, 30 ERDEGs were identified and a 4-gene prognostic model including CPM, CLCA4, ELOVL6, and ATP2A3 was developed and validated. The risk score derived from this model was considered as an independent variable factor to predict overall survival. The patients were divided into high- and low-risk groups based on the median riskscore value. The correlation between immune cell infiltration, immunotherapy response, immune status, clinical characteristics, drug sensitivity, and risk score was analyzed. IHC confirmed the expression of signature genes in tissues from normal individuals, patients with polyps, and COAD.ConclusionIn this study, we constructed and validated a novel four-gene signature prognostic model, which could effectively predict the response to immunotherapy and overall survival in patients with COAD. More importantly, this model provides useful insight into the management of colon cancer patients and aids in designing personalized therapy.</p